Case Study: Dun and Bradstreet saves 100,000 hours a year with Evolution AI

Evolution AI automates data extraction from web pages for Dun and Bradstreet

Dun & Bradstreet, the commercial insights provider, needed a faster and more accurate way to classify millions of companies into industry categories. Evolution AI provided a managed service that used web-page data extraction and contextual understanding to automate SIC code classification.

Evolution AI’s system learned industry language from relevant web pages, then matched company information against those language patterns to assign classifications with confidence scores and human review for uncertain cases. The solution saved Dun & Bradstreet around 100,000 hours a year, equivalent to 56 FTEs, and also reduced earlier validation work by about 50,000 hours and 28 FTEs while improving data quality.

Dun and Bradstreet

Andy Crisp

Global Data Lead